Claim Missing Document
Check
Articles

Found 31 Documents
Search

PENERAPAN ALGORITMA ANT COLONY OPTIMIZATION (ACO) PADA JOB SHOP SCHEDULING PROBLEM (JSSP) DI PT. SIEMENS INDONESIA (CILEGON FACTORY) Widyawati Widyawati
Jurnal Sistem Informasi dan Informatika (Simika) Vol 1 No 01 (2018): Jurnal Sistem Informasi dan Informatika (SIMIKA)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v1i01.37

Abstract

Fabrication process is often disrupted by non–deterministic job, this create a problem in the Pre-Fabrication department schedule because often the manufacture of raw material for non-deterministic job should given priority. This problem also affected by the existing system which is not yet fully developed to solve the problem of optimize rescheduling master line (seen from total makespan time). Ant Colony Optimization (ACO) variant Ant System (AS) was proposed to solve Job Shop Scheduling Problem (JSSP) with the objective to propose the best schedule that give shortest makespan. The algorithm tested to perform scheduling of 5 projects (consist of 10 parts) as the initial job, and another 2 projects (consist of 4 parts) as the non-deterministic job. For the initial job, makespan was 287 days and after the arrival of non-deterministic job, makespan was 362 days compare with the actual manufacturing time (7 project consist of 14 parts) which is ± 511 days
PERANCANGAN SISTEM INFORMASI GEOGRAFIS PELAYANAN PETA TEMATIK NILAI TANAH PADA KANTOR BADAN PERTANAHAN NASIONAL KOTA SERANG Sutanto Sutanto; Widyawati Widyawati; Dodi Irawan
Jurnal Sistem Informasi dan Informatika (Simika) Vol 2 No 2 (2019): Jurnal Sistem Informasi dan Informatika (SIMIKA)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v2i2.602

Abstract

The rapid growth of large cities is heavily influenced by the complexity of the functions that run a city or region. Growth is very rapid development in large cities make the need for land and will further increase the value of land. Needs a very high soil have a tendency value of land in major cities increased. It is influenced by growing development in the region or the city. With the increase in land value that occurs is expected to be predicted so that the increase in land value that occurs not hampers the development of the area. While Geographic Information Systems (GIS) or also known as Geographic Information System (GIS), the end - the end is experienced significant development in line with advances in information technology. GIS is a computer-based information system that combines elements of the map (geographical) and information about the map (data attributes) that are designed to obtain, process, manipulate, analyze, demonstrate and display spatial data to complete the planning, process and investigate the problem. So they make a thematic map of land value that describes the amount of land value or the market price and the ground potential of a certain area, which serves as a spatial information (spatial) is Thematic Map Value of Land, as the information value of land in the city of Serang, making requires data of land prices based on market value.
PERANCANGAN SISTEM INFORMASI TRACER STUDY PADA UNIVERSITAS BANTEN JAYA Sutanto Sutanto; Widyawati Widyawati; Firhan Adnan Denoor
Jurnal Sistem Informasi dan Informatika (Simika) Vol 3 No 2 (2020): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v3i2.987

Abstract

Banten Jaya University is a tertiary institution located in Serang City, Banten Province. Which has three faculties including education, computer science and engineering. In a university, information about alumni data is needed, starting from the department, graduation year, place of work and other information related to the alumni. Tracer Study is useful as a link between universities and the business world and industry. The tracer study process at Banten Jaya University is still not optimal, because the data collection is still done manually by distributing questionnaires to alumni and lack of information dissemination to alumni, because it is limited only through social media. This is why the information system Tracer Study is built using the PHP programming language and MySQLi as the database, to collect alumni information. This information system uses web-based technology and the waterfall method in the development. From the results of testing this system is in accordance with the algorithm that was made,users can fill out questionnaires online, see other alumni information, and managing job openings, as well as displaying graphs of alumni who had worked after graduation and the number of graduates each year.
RANCANG BANGUN APLIKASI LEARNING MANAGEMENT SYSTEM DENGAN FRAMEWORK CODEIGNITER UNTUK MENINGKATKAN EFEKTIVITAS PEMBELAJARAN PADA SMK DARUL ISHLAH Widyawati Widyawati; Ahmad Surahmat; Edy Nasri; Syahrul Febriyanto
Jurnal Sistem Informasi dan Informatika (Simika) Vol 5 No 1 (2022): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v5i1.1702

Abstract

The learning process in Darul Ishlah Vocational High School is not optimal, student learning outcomes have not reached optimal, monotonous learning media, limited learning time, and delays in the learning process if the teacher concerned is unable to attend are the main things behind the research. Darul Ishlah Vocational High School require an innovative learning media that can be used to implement learning both face-to-face and online. So that the learning that is carried out can run as it should and the rate of student learning can increase and be able to explore the material provided by teacher and be able to increase student interest and learning outcomes in accordance with the targets set by the school. Therefore, one of the efforts to increase the effectiveness of learning that can be done is to implement a Learning Management System by combining face-to-face and online learning which is an alternative to learning process at Darul Ishlah Vocational School both in pandemic conditions and face-to-face learning processes. The purpose of this study was to test the effectiveness of the LMS implementation on the student learning process. System development in making applications using the method Waterfall. The modeling system used is the Unified Modeling Language (UML). In making applocations using PHP with the Codeigniter Framework as language scripting and the framework used to create applications, MySQL as the database. With this LMS, it is hoped that it can help the learning process become more effective, make it easier for teacher to distribute materials, assignment, exam questions to student. This LMS application can be used as an additional discussion medium for teacher and student to discuss unfinished subject matter, and a student can work on multiple-choice exam questions and collect assignments given by the teacher.
PERBANDINGAN KINERJA VARIASI NAÏVE BAYES MULTIVARIATE BERNOULLI DAN NAÏVE BAYES MULTINOMIAL DALAM PENGKLASIFIKASIAN DOKUMEN TEKS Widyawati Widyawati; Sutanto Sutanto
Journal of Innovation And Future Technology (IFTECH) Vol 2 No 1 (2020): Vol 2 No 1 (February 2020): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v2i1.859

Abstract

Classification of text documents with large amounts will be a job that requires a lot of time, effort and cost of having to read text documents and then categorize them manually, therefore the automatic classification of text documents is needed. The algorithm developed is K-Nearest-Neighbor (KNN), Naïve Bayes, Support Vector Machine (SVM), Decision Tree (DT), Neural Network (NN) and Maximum Entropy. The algorithm used as the object of research is a variation of the Naïve Bayes algorithm, the Naïve Bayes Multivariate Bernoulli and the Naïve Bayes Multinomial. This study discusses whether there are differences between the Algorithms. The Naïve Bayes Multivariate Bernoulli algorithm and the Naïve Bayes Multinomial can be seen from the value of the agreement and the speed of the process of classifying text documents, as well as more information about the process of processing requests that are getting more and more requested. While the highest value using the non-stemming Naïve Bayes Bernoulli method is 71.33%, and the fastest processing time is required using the non-stemming Naïve Bayes method which requires 0.12 seconds processing time.
RANCANG BANGUN APLIKASI KINERJA PENELITIAN DAN PENGABDIAN MASYARAKAT DOSEN ILMU KOMPUTER UNIVERSITAS BANTEN JAYA BERBASIS WEB Widyawati Widyawati; Ahmad Fatoni; Dimas Sudarwanto
Journal of Innovation And Future Technology (IFTECH) Vol 2 No 2 (2020): Vol 2 No 2 (August 2020): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v2i2.1023

Abstract

According to Law article. 20 of 2003 concerning the National Education System, Article 20 clearly states that universities are obliged carry out research and community service, in addition carry out education. Faculty of Computer Science, University of Banten Jaya at processes ranging from administration and in research and data management this community service still uses the manual method so that when LPPM institutions want to monitor research and community service activities experience difficulty. For that, it is necessary to have an application that can facilitate institutions and faculties in monitoring research activities and community dedication. This study uses the Waterfall design method, while the method data collection used is by observation interviews and studies References. Tools used in designing this system using modeling Unified Modeling Language. Applications tested using black box method. The results of testing this application conclude that the function which is expected everything in accordance with the wishes.
PERANCANGAN SISTEM INFORMASI PEMBANGUNAN JALAN PERDESAAN DI KABUPATEN SERANG (Studi Kasus Pada Desa Sukadalem Kecamatan Waringinkurung) Widyawati Widyawati; Dedeh Ratnasari; Indra Gunawan
Journal of Innovation And Future Technology (IFTECH) Vol 3 No 2 (2021): Vol 3 No 2 (August 2021): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v3i2.1698

Abstract

The PUPR Service of Serang Regency is located on Jalan Sama’un Bakri, Lopang, Serang2City, where there are many areas of duty, one part of which is the development section of the development section, which has tasks in road construction. In recording or data collection, road construction still uses Microsoft Excel, so it is not effective because of data loss and data duplication. So we need a new system that can support these activities. With the website-based information system using the PHP programming language, the database used is MySQL and the Waterfall method makes this information system usable anytime and anywhere. The purpose of this study is to design a rural road development information system that can provide information to the government regarding road construction and can monitor the progress of road construction in progress. The community can also see this information without having to come to the PUPR Office of Serang Regency to ask about information on the construction of their village roads that will be built and can report complaints related to road conditions, especially in the Serang district area in the community complaint feature so that it can be immediately followed up by government.
PERANCANGAN SISTEM INFORMASI MANAJEMEN ASET DI KELURAHAN SUMUR PECUNG BERBASIS WEB Widyawati Widyawati; Ahmad Surahmat; Rani Nadhiroh
Journal of Innovation And Future Technology (IFTECH) Vol 4 No 1 (2022): Vol 4 No 1 (February 2022): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v4i1.1825

Abstract

Asset management is the management of asset data by grouping assets based on groups or recording assets in detail with the aim of organizing asset data so that they are well organized. Asset management in Serang City Village still uses conventional methods, especially asset management data collection in Sumur Pecung Village where the data collection still has several shortcomings and problems such as not explaining the layout of assets in detail, the layout of the location of assets, causing loss of one of the assets, the existence of duplicate data, lack of detailed information and poor data collection, namely data that is not integrated by inspectorate employees, especially every asset inspection report by inspectorate employees is not the same in writing this report format. This study aims to create an asset management information system by reducing problems that still use conventional methods. The data collection methods used are interviews, observation, and documentation to obtain accurate data. The software development used is the Waterfall model which is part of the System Development Life Cycle (SDLC) with stages of needs analysis, system design, implementation, integration and testing. Business process modeling uses the Unified Modeling Language (UML) with Use Case Diagram models, Activity Diagrams, and Sequence Diagrams. This information system which will later become a webbased application, was built using the Laravel Framework and several programming languages such as PHP, Java Script, CSS and MYSQL database. With this application, it can reduce asset management problems in Sumur Pecung Village in its data collection.
Rancang bangun aplikasi monitoring kegiatan kuliah kerja mahasiswa berbasis android di Universitas Banten Jaya Nur Hidayanti; Widyawati Widyawati; Rizki Fatullah; Budiono Budiono
Jurnal Teknika Vol 16, No 2 (2020): Edisi November 2020
Publisher : Faculty of Engineering, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/tjst.v16i2.8680

Abstract

Kuliah kerja mahasiswa (KKM) merupakan salah satu mata kuliah wajib di Universitas Banten Jaya. Pelaksanaan KKM masih terdapat kekurangan pada monitoring kegiatan mahasiswa baik itu kegiatan harian, progress project kelompok, hingga presensi peserta KKM. Kekurangan tersebut dapat diatasi oleh adanya sistem informasi yang menghimpun semua data dengan baik. Tujuan dari penelitian ini adalah menghasilkan sistem informasi yang berguna dalam menangani proses kelancaran kegiatan KKM. Populasi dari penelitian ini adalah mahasiswa Universitas Banten Jaya dan sampelnya adalah mahasiswa yang mengambil mata kuliah tersebut. Metode waterfall digunakan dalam penelitian ini karena metode ini memiliki urutan dari satu tahap ke tahap berikutnya supaya tidak terlewatkan atau meminimalisir kesalahan dan mudah dipahami oleh mahasiswa. Pemodelan sistem secara visual pada penelitian ini menggunakan unified modeling language (UML). Aplikasi berbasis Android yang dihasilkan menggunakan bahasa pemrograman Java dan dibuat menggunakan Android Studio integrated development environment (IDE) dan real-time database firebase. Hasil penelitian ini adalah aplikasi berbasis Android yang membantu pelaksanaan KKM di Universitas Banten Jaya menjadi lebih sistematis dan efisien. Student community service (kuliah kerja mahasiswa (KKM)) is one of the compulsory courses at University of Banten Jaya. The implementation of KKM still lacks in monitoring student activities both daily activities, group project progress, to the presence of KKM. These deficiencies can be overcome by the existence of an information system that collects all data properly. The purpose of this research is to produce an information system that is useful in handling the smooth process of KKM. The population of this study was students of the University of Banten Jaya and the sample was students who take the course. The waterfall method is used in this study because this method has a sequence from one stage to the next so as not to be missed or to minimize errors and easily understood by students. Visual system modeling in this study uses a unified modeling language (UML). Android-based applications are produced using the Java programming language and are made using the Android Studio integrated development environment (IDE) and the firebase real-time database. The result of this research is an Android-based application that helps the implementation of KKM at Banten Jaya University to be more systematic and efficient.
Real-time detection of fruit ripeness using the YOLOv4 algorithm Widyawati Widyawati; Reni Febriani
Jurnal Teknika Vol 17, No 2 (2021): Available Online in November 2021
Publisher : Faculty of Engineering, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/tjst.v17i2.12254

Abstract

Indonesia is a country that has many types of commodities of various kinds of fruit. Based on BPS data, fruit production reached 22 million tons in 2019, an increase of 5% compared to 2018. However, with such a large production volume, most fruit inspection (sorting) processes in Indonesia are still carried out manually by humans. The manual process requires a lot of time and energy resources, is prone to inconsistencies and inaccuracies. With the help of computer vision, the automation process is expected to be able to eliminate manual processes to reduce costs and increase efficiency and accuracy. In this study, the method used is the YOLOv4 algorithm. The algorithm is applied to detect banana ripeness automatically. The algorithm training process is carried out using 369 banana images divided into two classes, and the testing process is carried out on videos captured in real-time. Based on the research results, the best average accuracy rate is 87.6%, and the video processing speed is 5 FPS (frames per second) using a single-GPU architecture. Indonesia merupakan negara yang memiliki banyak jenis komoditi berbagai macam buah-buahan. Berdasarkan data BPS, produksi buah mencapai 22 juta ton pada 2019 atau meningkat 5% dibandingkan 2018. Namun dengan volume produksi sebesar itu, sebagian besar proses pemeriksaan (sorting) buah di Indonesia masih dilakukan secara manual oleh manusia. Proses manual membutuhkan banyak waktu dan sumber daya, rentan terhadap inkonsistensi dan ketidakakuratan. Proses otomatisasi dengan bantuan computer vision diharapkan dapat menghilangkan proses manual sehingga dapat menekan biaya, meningkatkan efisiensi dan akurasi. Dalam penelitian ini, metode yang digunakan adalah algoritma YOLOv4. Algoritma ini diterapkan untuk mendeteksi kematangan pisang secara otomatis. Proses pelatihan algoritma dilakukan dengan menggunakan 369 citra pisang yang dibagi menjadi dua kelas dan proses pengujian dilakukan pada video yang ditangkap secara real time. Berdasarkan hasil penelitian, tingkat akurasi rata-rata terbaik adalah 87,6% dan kecepatan pemrosesan video adalah 5 FPS (frame per seconds) dengan menggunakan arsitektur single-GPU.